How to Build TensorFlow Pipelines with tf.data.Dataset
Offered By: James Briggs via YouTube
Course Description
Overview
Learn how to build efficient input pipelines for machine learning using TensorFlow's tf.data.Dataset API in this 31-minute tutorial. Explore techniques for creating optimized data processing workflows in TensorFlow 2, enhancing your model training performance. Discover the power of tf.data for handling large datasets, implementing data augmentation, and improving overall efficiency in your machine learning projects. Gain practical insights into leveraging the tf.data API to streamline your data preparation and boost your model's training speed.
Syllabus
How to Build TensorFlow Pipelines with tf.data.Dataset
Taught by
James Briggs
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent